betaselectr 0.1.3

New Features

• lav_betaselect() can also compute the “standardized” intercepts, though in the same way lavaan does, by dividing an intercept by the standard deviation of the outcome variable (the y variable). This can be enabled by setting std_intercept to TRUE (FALSE by default). (0.1.2.1)

Improvement

• lav_betaselect() will no longer check whether variables involved in a product term have been mean-centered by default (but can still be enabled if necessary). The coefficient of the so-called “main effect” term of these variables will now be computed correctly even without mean-centering. (0.1.2.1, 0.1.2.2)

Miscellaneous

• lav_betaselect() will not compute the coefficients of covariances and variances that involve a product term, if the variables involved are not mean-centered. Without mean-centering, it is impossible to compute them if the joint distribution of the variables is not multivariate normal. (0.1.2.1)

betaselectr 0.1.2

Miscellaneous

• Added a few more tests for one-IV models. (0.1.2)

Bug Fixes

• lav_betaselect(): The standardized coefficients of the component variables of a product term are incorrect if mean-centering is not done. For now, lav_betaselect() will check whether they are mena-centered. If not, it will raise an error and suggest users to mean-center the involved variables first. (0.1.1)

betaselectr 0.1.0

• First version to CRAN.